Sort by
Refine Your Search
-
, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
-
plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
-
instrumentation are a strong plus. This position is fixed term for 18 months with the possibility of extension. Profile The successful candidate should be highly motivated and creative, should have a PhD in physics
-
100%, Zurich, fixed-term The Optical Nanomaterial Group in the Physics Department at ETH Zurich is looking for a PhD student in quantum metamaterials. Optical metamaterials are a rapidly maturing
-
provide academic advising to BSc, MSc, and PhD students. Engage actively in experiments conducted at large-scale research facilities and collaborate with external research institutions, aligned with
-
processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
-
outstanding working conditions. As part of an interdisciplinary team at the intersection of applied machine learning, behavioral science, forensic toxicology, and automotive safety, you will contribute
-
engaged with scientific developments and peer communities. Profile A PhD in geosciences, natural or engineering sciences, data science, or a discipline pertinent to Earth observation. At least 8 years of
-
100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model-reduction for high-dimensional nonlinear physical
-
the selection of further reactions to run, and their application to targets of medicinal interest. Job description As a PhD student in our growing team, you will develop machine learning methods to predict